Triple
T17339432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romerike |
E421025
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Nes |
E537555
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Nes | Statement: [Romerike, contains, Nes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nes Context triple: [Romerike, contains, Nes]
-
A.
Nes
Nes is a small coastal village on the Faroe Islands known for its traditional Faroese character and scenic North Atlantic setting.
-
B.
Nes
chosen
Nes is a municipality in Viken county, Norway, known for its agricultural landscape and location along the Glomma River.
-
C.
Nes
Nes is a village on the Dutch Wadden Sea island of Ameland, known for its historic center and coastal tourism.
-
D.
NES
NES is a web server software product developed by Netscape for hosting and managing websites and web applications.
-
E.
NES
NES is the vehicle registration code used on license plates for the Rhön-Grabfeld district in northern Bavaria, Germany.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a14ec90819098db2ac0d58a53e1 |
completed | April 19, 2026, 2:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a018c56c8148190ab6e3e2eff09725e |
completed | May 11, 2026, 7:59 a.m. |
Created at: April 10, 2026, 5:44 a.m.